Research on the Spatial Distribution Characteristics and Influencing Factors of Educational Facilities Based on POI Data: A Case Study of the Guangdong–Hong Kong–Macao Greater Bay Area

Bowen Chen, Hongfeng Zhang, Cora Un In Wong, Xiaolong Chen, Fanbo Li, Xiaoyu Wei, Junxian Shen

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This study aims to provide a precise assessment of the distribution of educational facilities within the Guangdong–Hong Kong–Macao Greater Bay Area, serving as a crucial foundation for managing educational resource allocation and enhancing the quality of educational services. Utilizing a kernel density analysis, global autocorrelation analysis, and geographic detectors, this research systematically analyzes the spatial distribution characteristics and influencing factors of educational facilities in the area. The findings reveal significant geographical disparities in facility distribution with dense clusters in urban centers such as Guangzhou and Shenzhen, and less dense distributions in peripheral areas like Zhongshan and Macau. These facilities exhibit a multi-center cluster pattern with strong spatial autocorrelation, mainly influenced by the population size and economic and urban development levels. The results provide actionable insights for refining educational planning and resource allocation, contributing to the enhancement of educational quality across diverse urban landscapes.

Original languageEnglish
Article number225
JournalISPRS International Journal of Geo-Information
Volume13
Issue number7
DOIs
Publication statusPublished - Jul 2024

Keywords

  • development disparities
  • educational facilities
  • influencing factors
  • infrastructure management
  • regional imbalance
  • spatial analysis

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